DBpedia Archivo: A Web-Scale Interface for Ontology Archiving Under Consumer-Oriented Aspects

Frey, Johannes; Streitmatter, Denis; Götz, Fabian; Hellmann, Sebastian; Arndt, Natanael

doi:10.1007/978-3-030-59833-4_2

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…DBpedia Archivo archives and ontologies on a web-scale to offer access to their different versions over time. It also provides quality metrics [22]. The Linked Open Vocabularies (LOV) portal provides a comprehensive overview of vocabularies in the realm of the Semantic Web and Linked Data, which can also be accessed via a SPARQL endpoint [23].…”

Section: Terminology Services (Ts)mentioning

confidence: 99%

Towards a Versatile Terminology Service for Empowering FAIR Research Data: Enabling Ontology Discovery, Design, Curation, and Utilization Across Scientific Communities

Strömert,

Limbachia,

Oladazimi

et al. 2023

Knowledge Graphs: Semantics, Machine Learning, and Languages

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To fully harness the potential of data, the creation of machine-readable data and utilization of the FAIR Data Principles is vital for successful data-driven science. Ontologies serve as the foundation for generating semantically rich, FAIR data that machines can understand, enabling seamless data integration and exchange across scientific disciplines. In this paper, we introduce a versatile Terminology Service that supports various tasks, including discovery, provision, as well as ontology design and curation. This service offers unified access to a vast array of ontologies across scientific disciplines, encouraging their reuse, improvement, and maturation. We present a user-driven service development approach, along with a use case involving a collaborative ontology design process, engaging domain experts, knowledge workers, and ontology engineers. This collaboration incorporates the application and evaluation of the Terminology Service, as well as supplementary tools, workflows, and collaboration models. We demonstrate the feasibility, prerequisites, and ongoing challenges related to developing Terminology Services that address numerous aspects of ontology utilization for producing FAIR, machine-actionable data.

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Section: Terminology Services (Ts)mentioning

confidence: 99%

Towards a Versatile Terminology Service for Empowering FAIR Research Data: Enabling Ontology Discovery, Design, Curation, and Utilization Across Scientific Communities

Strömert,

Limbachia,

Oladazimi

et al. 2023

Knowledge Graphs: Semantics, Machine Learning, and Languages

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show abstract

“…Other recent related works on FAIR principles for semantic resources include a list of functional metrics and recommendations for Linked Open Data Knowledge Organization Systems (LOD KOS) products proposed in 2020 [21], a list of ten simple rules for making a vocabulary FAIR [22]. Finally, the DBPedia Archivo tool [23], an ontology archive also released at the end of 2020 that aims to help developers and consumers in "implementing FAIR ontologies on the Web. "…”

Section: Specific Fairness Assessment Approachesmentioning

confidence: 99%

FAIR or FAIRer? An Integrated Quantitative FAIRness Assessment Grid for Semantic Resources and Ontologies

Amdouni

Jonquet

2022

Metadata and Semantic Research

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In open science, the expression "FAIRness assessment" refers to evaluating to which degree a digital object is Findable, Accessible, Interoperable, and Reusable. Standard vocabularies or ontologies are a key element to achieving a high level of FAIRness (FAIR Principle I2) but as with any other data, ontologies have themselves to be FAIR. Despite the recent interest in the open science and semantic Web communities for this question, we have not seen yet a quantitative evaluation method to assess and score the level of FAIRness of ontologies or semantic resources in general (e.g., vocabularies, terminologies, thesaurus). The main objective of this work is to provide such a method to guide semantic stakeholders in making their semantic resources FAIR. We present an integrated quantitative assessment grid for semantic resources and propose candidate metadata properties -taken from the MOD ontology metadata model-to be used to make a semantic resource FAIR. Aligned and nourished with relevant FAIRness assessment state-of-the-art initiatives, our grid distributes 478 credits to the 15 FAIR principles in a manner which integrates existing generic approaches for digital objects (i.e., FDMM, SHARC) and approaches dedicated to semantic resources (i.e., 5-stars V, MIRO, FAIRsFAIR, Poveda et al.). The credits of the grid can then be used for implementing FAIRness assessment methods and tools.

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“… DBPedia Archivo (Frey et al, 2020) is an ontology archive released end 2020 to help developers and consumers implement FAIRer ontologies. At this moment, Archivo contains about 1032 ontologies.…”

Section: Ontology Specific Fairness Assessment Approachesmentioning

confidence: 99%

O'FAIRe makes you an offer: metadata-based automatic FAIRness assessment for ontologies and semantic resources

Jonquet¹,

Bouazzouni²,

Amdouni³

2022

IJMSO

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We have not yet seen a clear methodology implemented and tooled to automatically assess the level of FAIRness of semantic resources. We propose a metadata-based automatic FAIRness assessment methodology for ontologies and semantic resources called Ontology FAIRness Evaluator (O'FAIRe). It is based on the projection of the 15 foundational FAIR principles for ontologies, and it is aligned and nourished with relevant state-of-the-art initiatives for FAIRness assessment. We propose 61 questions of which 80% are based on the resource metadata descriptions and we review the standard metadata properties (taken from the MOD 1.4 ontology metadata model) that could be used to implement these metadata. We also demonstrate the importance of relying on ontology libraries or repositories to harmonise and harness unified metadata and thus allow FAIRness assessment. Moreover, we have implemented O'FAIRe in the AgroPortal semantic resource repository and produced a preliminary FAIRness analysis over 149 semantic resources in the agri-food/environment domain.

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DBpedia Archivo: A Web-Scale Interface for Ontology Archiving Under Consumer-Oriented Aspects

Cited by 10 publications

References 21 publications

Towards a Versatile Terminology Service for Empowering FAIR Research Data: Enabling Ontology Discovery, Design, Curation, and Utilization Across Scientific Communities

Towards a Versatile Terminology Service for Empowering FAIR Research Data: Enabling Ontology Discovery, Design, Curation, and Utilization Across Scientific Communities

FAIR or FAIRer? An Integrated Quantitative FAIRness Assessment Grid for Semantic Resources and Ontologies

O'FAIRe makes you an offer: metadata-based automatic FAIRness assessment for ontologies and semantic resources

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